Paper-Conference

Spotting Hallucinations in Inverse Problems with Data-Driven Priors
Spotting Hallucinations in Inverse Problems with Data-Driven Priors

Hallucinations are an inescapable consequence of solving inverse problems with deep neural networks. The expressiveness of recent generative models is the reason why they can yield results far superior to conventional regularizers; it can also lead to realistic-looking but incorrect features, potentially undermining the trust in important aspects of the reconstruction.

Aug 1, 2023

Ion alfvén velocity fluctuations and implications for the diffusion of streaming cosmic rays. Frontiers of Astronomy
Ion alfvén velocity fluctuations and implications for the diffusion of streaming cosmic rays. Frontiers of Astronomy

The interstellar medium (ISM) of star-forming galaxies is magnetized and turbulent. Cosmic rays (CRs) propagate through it, and those with energies from ∼ GeV − TeV are likely subject to the streaming instability, whereby the wave damping processes balances excitation of resonant ionic Alfvén waves by the CRs, reaching an equilibrium in which the propagation speed of the CRs is very close to the local ion Alfvén velocity.

Aug 1, 2022

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